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https://github.com/tinygrad/tinygrad.git
synced 2026-01-10 07:28:15 -05:00
ebd72ff437
* Split tests Split tests into "Test CPU" and "Test GPU". Add test flag "TEST_DEVICES" which is a comma separated list of devices: CPU,GPU,ANE * Run tests based on provided TEST_DEVICES flag By default will run all "CPU,GPU,ANE" * fix bad quote * Revert changes and use GPU=1 This is done through setting the default Tensor Device to Device.CPU of GPU=1 is set. Run GPU tests: GPU=1 pytest -s -v
37 lines
871 B
Python
37 lines
871 B
Python
#!/usr/bin/env python
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import gc
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import unittest
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from tinygrad.tensor import Tensor
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def tensors_allocated():
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return sum([isinstance(x, Tensor) for x in gc.get_objects()])
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class TestGC(unittest.TestCase):
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def test_gc(self):
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a = Tensor.zeros(4,4)
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b = Tensor.zeros(4,4)
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(a*b).mean().backward()
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assert(tensors_allocated() > 0)
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del a,b
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assert(tensors_allocated() == 0)
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def test_gc_complex(self):
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a = Tensor.zeros(4,4)
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b = Tensor.zeros(4,4)
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assert(tensors_allocated() == 2)
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(a*b).mean().backward()
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assert(tensors_allocated() == 4)
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del b
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assert(tensors_allocated() == 2)
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b = Tensor.zeros(4,4)
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print(tensors_allocated())
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(a*b).mean().backward()
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print(tensors_allocated())
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assert(tensors_allocated() == 4)
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del b
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assert(tensors_allocated() == 2)
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if __name__ == '__main__':
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unittest.main()
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